Literature DB >> 29516690

Caries detection and quantification around stained pits and fissures in occlusal tooth surfaces with fluorescence.

Hyung-Suk Lee1, Sang-Kyeom Kim1, Seok-Woo Park1, Elbert de Josselin de Jong1,2,3, Ho-Keun Kwon1, Seung-Hwa Jeong4, Baek-Il Kim1.   

Abstract

Occlusal discoloration due to staining frequently occurs on the pits and fissures of teeth. Noncariogenic discoloration (non-CD) refers to the attachment of staining chromogens to sound surfaces, whereas cariogenic discoloration (CD) represents the discoloration of porous structures due to bacterial metabolites and mineral loss from the enamel surface. This study evaluated whether it is possible to distinguish between non-CD and CD on stained occlusal surfaces with fluorescence assessed by the quantitative light-induced fluorescence (QLF) technology. Sixty-two extracted human permanent teeth with suspected discolorations on the pit and fissure were examined. The maximum values of fluorescence loss (ΔFmax) and red fluorescence gain (ΔRmax) were calculated using QLF images. Using histology as the gold standard, it was found that 12 teeth were sound (non-CD), while 50 teeth had enamel and dentine caries (CD). The validity tests at the enamel histological caries level, ΔRmax (ρ  =  0.80) were strongly correlated with the histology (P  <  0.001). At the optimum threshold (105.0) of ΔRmax, it showed high levels of sensitivity and specificity (0.96 and 0.83, respectively). Therefore, QLF can be used to distinguish non-CD from CD on occlusal surfaces using red fluorescence values with high validity. (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

Entities:  

Keywords:  occlusal caries; quantitative light-induced fluorescence; red fluorescence; stained pit and fissure; tooth discoloration

Mesh:

Year:  2018        PMID: 29516690     DOI: 10.1117/1.JBO.23.9.091402

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  5 in total

1.  Full-scale Raman imaging for dental caries detection.

Authors:  Emmanuel Yakubu; Bolan Li; Yuanyuan Duan; Shan Yang
Journal:  Biomed Opt Express       Date:  2018-11-07       Impact factor: 3.732

2.  Fluorescence devices for the detection of dental caries.

Authors:  Richard Macey; Tanya Walsh; Philip Riley; Anne-Marie Glenny; Helen V Worthington; Patrick A Fee; Janet E Clarkson; David Ricketts
Journal:  Cochrane Database Syst Rev       Date:  2020-12-08

3.  Practice-based analysis of direct posterior dental restorations performed in a public health service: Retrospective long-term survival in Brazil.

Authors:  Renata Afonso da Silva Pereira; Gisele Rodrigues da Silva; Luciana Mendes Barcelos; Karoline Guará Brusaca Almeida Cavalcanti; Álex Moreira Herval; Thiago Machado Ardenghi; Carlos José Soares
Journal:  PLoS One       Date:  2020-12-22       Impact factor: 3.240

4.  Evaluation of dental caries detection with quantitative light-induced fluorescence in comparison to different field of view devices.

Authors:  Song Hee Oh; Jin-Young Choi; Seong-Hun Kim
Journal:  Sci Rep       Date:  2022-04-12       Impact factor: 4.379

5.  Lesion activity assessment of early caries using dye-enhanced quantitative light-induced fluorescence.

Authors:  Seok-Woo Park; Si-Mook Kang; Hyung-Suk Lee; Sang-Kyeom Kim; Eun-Song Lee; Bo-Ra Kim; Elbert de Josselin de Jong; Baek-Il Kim
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

  5 in total

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